FACULTY OF ARTS AND SCIENCES
Department of Mathematics
SOCIAL MEDIA
MATH 462 | Course Introduction and Application Information
| Course Name |
Applied Statistics
|
|
Code
|
Semester
|
Theory
(hour/week) |
Application/Lab
(hour/week) |
Local Credits
|
ECTS
|
|
MATH 462
|
Fall/Spring
|
3
|
0
|
3
|
7
|
| Prerequisites |
None
|
|||||
| Course Language |
English
|
|||||
| Course Type |
Elective
|
|||||
| Course Level |
First Cycle
|
|||||
| Mode of Delivery | Blended | |||||
| Teaching Methods and Techniques of the Course | DiscussionQ&ALecture / Presentation | |||||
| Course Coordinator | - | |||||
| Course Lecturer(s) | ||||||
| Assistant(s) | ||||||
| Course Objectives | This course provides essential materials for analyzing statistical data appear in various fields of social and phsical sciences. |
| Learning Outcomes |
The students who succeeded in this course;
|
| Course Description | This course provides several basic methods for analyzing statistical data appear in various fields of science. |
|
|
Core Courses |
X
|
| Major Area Courses | ||
| Supportive Courses | ||
| Media and Management Skills Courses | ||
| Transferable Skill Courses |
WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES
| Week | Subjects | Related Preparation |
| 1 | Importance of describing data and summarizing descriptive relationships | You need to follow the lecture notes. |
| 2 | Obtaining meaningful data, presenting data. Data presentation errors | You need to follow the lecture notes. |
| 3 | Descriptive Measures: Measures of central tendency, measures of variability | You need to follow the lecture notes. |
| 4 | Measures of relative location | You need to follow the lecture notes. |
| 5 | Methods for detecting Outliers, obtaining bivariate linear relationships | You need to follow the lecture notes. |
| 6 | General principles for analyzing data: Concept of sampling, unbiasedness and minimum variance, the sampling distribution of the sample mean and the Central Limit Theorem | You need to follow the lecture notes. |
| 7 | General principles for analyzing data: Single sample estimation with confidence intervals and tests of hypothesis | You need to follow the lecture notes. |
| 8 | General principles for analyzing data: Two samples estimation with confidence intervals and tests of hypothesis | You need to follow the lecture notes. |
| 9 | Design of experiments | You need to follow the lecture notes. |
| 10 | Analysis of variance | You need to follow the lecture notes. |
| 11 | Simple linear regression | You need to follow the lecture notes. |
| 12 | Multiple regression and model building | You need to follow the lecture notes. |
| 13 | Categorical data analysis | You need to follow the lecture notes. |
| 14 | Some selected topics and applications | You need to follow the lecture notes. |
| 15 | Semester Review | |
| 16 | Final Exam |
| Course Notes/Textbooks | The extracts above and exercises will be given |
| Suggested Readings/Materials | “Statistical Techniques for Data Analysis” by J.K. Taylor and C. Cihon, Chapman and Hall/CRC, 2nd Edition, 2004. ISBN: 9781584883852 |
EVALUATION SYSTEM
| Semester Activities | Number | Weigthing |
| Participation | ||
| Laboratory / Application | ||
| Field Work | ||
| Quizzes / Studio Critiques | ||
| Portfolio | ||
| Homework / Assignments | ||
| Presentation / Jury |
1
|
10
|
| Project |
1
|
20
|
| Seminar / Workshop | ||
| Oral Exams | ||
| Midterm |
1
|
30
|
| Final Exam |
1
|
40
|
| Total |
| Weighting of Semester Activities on the Final Grade |
3
|
60
|
| Weighting of End-of-Semester Activities on the Final Grade |
1
|
40
|
| Total |
ECTS / WORKLOAD TABLE
| Semester Activities | Number | Duration (Hours) | Workload |
|---|---|---|---|
| Theoretical Course Hours (Including exam week: 16 x total hours) |
16
|
3
|
48
|
| Laboratory / Application Hours (Including exam week: '.16.' x total hours) |
16
|
0
|
|
| Study Hours Out of Class |
14
|
4
|
56
|
| Field Work |
0
|
||
| Quizzes / Studio Critiques |
0
|
||
| Portfolio |
0
|
||
| Homework / Assignments |
0
|
||
| Presentation / Jury |
1
|
15
|
15
|
| Project |
1
|
20
|
20
|
| Seminar / Workshop |
0
|
||
| Oral Exam |
0
|
||
| Midterms |
1
|
32
|
32
|
| Final Exam |
1
|
39
|
39
|
| Total |
210
|
COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP
|
#
|
Program Competencies/Outcomes |
* Contribution Level
|
||||
|
1
|
2
|
3
|
4
|
5
|
||
| 1 | To be able to have a grasp of basic mathematics, applied mathematics or theories and applications of statistics. |
X | ||||
| 2 | To be able to use advanced theoretical and applied knowledge, interpret and evaluate data, define and analyze problems, develop solutions based on research and proofs by using acquired advanced knowledge and skills within the fields of mathematics or statistics. |
X | ||||
| 3 | To be able to apply mathematics or statistics in real life phenomena with interdisciplinary approach and discover their potentials. |
X | ||||
| 4 | To be able to evaluate the knowledge and skills acquired at an advanced level in the field with a critical approach and develop positive attitude towards lifelong learning. |
X | ||||
| 5 | To be able to share the ideas and solution proposals to problems on issues in the field with professionals, non-professionals. |
X | ||||
| 6 | To be able to take responsibility both as a team member or individual in order to solve unexpected complex problems faced within the implementations in the field, planning and managing activities towards the development of subordinates in the framework of a project. |
|||||
| 7 | To be able to use informatics and communication technologies with at least a minimum level of European Computer Driving License Advanced Level software knowledge. |
|||||
| 8 | To be able to act in accordance with social, scientific, cultural and ethical values on the stages of gathering, implementation and release of the results of data related to the field. |
|||||
| 9 | To be able to possess sufficient consciousness about the issues of universality of social rights, social justice, quality, cultural values and also environmental protection, worker's health and security. |
|||||
| 10 | To be able to connect concrete events and transfer solutions, collect data, analyze and interpret results using scientific methods and having a way of abstract thinking. |
|||||
| 11 | To be able to collect data in the areas of Mathematics or Statistics and communicate with colleagues in a foreign language. |
|||||
| 12 | To be able to speak a second foreign language at a medium level of fluency efficiently. |
|||||
| 13 | To be able to relate the knowledge accumulated throughout the human history to their field of expertise. |
|||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest
SOCIAL MEDIA
NEWS |ALL NEWS
International success in mathematics
Spain-based ranking organization Scimago Institutions Ranking ranked IUE Department of Mathematics as 261st in the world and second in our country, as a
9th Workshop of Association for Turkish Women in Maths
9th Workshop of Association for Turkish Women in Maths will take place from May 03 to May 05, 2024 in Izmir, Turkey,
Our 2009 Graduate Has Been Appointed to the South Marmara Development Agency (GMKA) as the General Secretary
Onur Adıyaman, General Secretary of the Eastern Black Sea Development Agency, appointed as the General Secretary of the South Marmara Development Agency.
Young mathematicians came together at IUE
The award ceremony of the Turkish Mathematical Olympiad, which is organized to increase the interest of primary, secondary and high school students
